NVIDIA: Nemotron 3 Nano Omni (free)

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free

Released Apr 28, 2026256,000 context$0/M input tokens$0/M output tokens

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and audio inputs and produces text output, enabling agents to perceive and reason across modalities in a single inference loop.

Built on a hybrid MoE Transformer-Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS), it delivers approximately 2× higher throughput and 2.5× lower compute for video reasoning versus separate vision + speech pipelines. It supports up to 300K context length and a 16,384 reasoning budget, with extended thinking enabled via reasoning.enabled on OpenRouter.

Providers for Nemotron 3 Nano Omni (free)

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Nemotron 3 Nano Omni (free)

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Effective Pricing for Nemotron 3 Nano Omni (free)

Actual cost per million tokens across providers over the past hour

Apps using Nemotron 3 Nano Omni (free)

Top public apps this month

Recent activity on Nemotron 3 Nano Omni (free)

Total usage per day on OpenRouter

Prompt

403M

Reasoning

33.4M

Completion

8.11M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Nemotron 3 Nano Omni (free)

Uptime stats for Nemotron 3 Nano Omni (free) across all providers

Sample code and API for Nemotron 3 Nano Omni (free)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.